DESCRIPTION

The AI/ML Amazon Dedicated Cloud (ADC) team is at the forefront of delivering cutting-edge artificial intelligence and machine learning solutions to our customers in isolated, air-gapped cloud environments. We are dedicated to pushing the boundaries of what is possible in this rapidly evolving field, leveraging the power of cloud computing and the latest advancements in AI/ML technologies. With a focus on expanding AI/ML services across air-gapped cloud regions, driving automation investments, and delivering open-source solutions, we are at the forefront of innovation. Our team is committed to enabling customers to harness the full potential of AI/ML technologies, empowering them to achieve their objectives with greater efficiency, collaboration, and service utilization.

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

A successful Software Development Engineer II joining the team will work closely with Amazon’s largest and most demanding government customers to address their specific needs across a full suite of AWS AI/ML services in air-gapped cloud environments. They will dive deeply into technical issues and work diligently to improve the customer experience. The ideal candidate will…
– Be great fun to work with. Our company credo is “Work hard. Have fun. Make history”. The right candidate will love what they do and instinctively know how to make work fun.
– Have strong Linux & Networking Fundamentals. The ideal candidate will have deep experience working with Linux, preferably in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You regularly take part in deep-dive troubleshooting and conduct technical post-mortem discussions to identify the root cause of complex issues.
– Love to solve problems. The ideal candidate will love using technology to solve difficult technical problems related to AI/ML service builds and operations in air-gapped cloud environments. You have a solid understanding of systems design, operations, automation, and process improvement.
– Think Big. The ideal candidate will build and deploy solutions across ADC partitions and regions. You will strive to improve and streamline processes to allow for work on a massive scale.

This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.

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Key job responsibilities
Key job responsibilities

– You design and deliver technology solutions that solve difficult problems related to AI/ML service builds and operations primarily in ADC partitions and regions.
– You identify and solve ambiguous problems, architectural deficiencies, or areas where systems hinder the innovation of other teams.
– You improve the resiliency, cost, performance, business, or customer value of AI/ML systems you own, enabling other builders through your work.
– You collaborate with AI/ML service teams, influencing them to meet shared goals and raise awareness of ADC constraints.
– You contribute to technical project definition, scoping, and prioritization discussions for AI/ML initiatives, working autonomously and seeking direction as needed.
– You identify and mitigate extant risks in AI/ML systems you own, improving engineering and operational processes within your team and other teams.
– You understand and follow ADC policies for information handling, access controls, and compliance requirements within ADC partitions.
– You foster a constructive dialogue with AI/ML customers and partner teams, clearly communicating and seeking professional resolutions.
– You participate in mentoring efforts and lead reviews of architecture, design, operations, and processes for your AI/ML team.

About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

BASIC QUALIFICATIONS

– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming language
– Current, active US Government Security Clearance of TS/SCI with Polygraph

PREFERRED QUALIFICATIONS

– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

USA, MD, Columbia